IBM SPSS Categories

What it can do for your business

IBM SPSS Categories enables you to visualize and explore relationships in your data and predict outcomes based on your findings. It uses categorical regression procedures to predict the values of a nominal, ordinal or numerical outcome variable from a combination of numeric and ordered or unordered categorical predictor variables. The software features advanced techniques such as: predictive analysis, statistical learning, perceptual mapping and preference scaling.

Interpret your multivariate data

Gain access to a variety of techniques to more easily analyze and interpret your multivariate data and its relationships. You are no longer restricted by categorical or highly dimensional data.

See underlying relationships

Use perceptual maps, biplots and triplots to go beyond the obvious associations.

Use nominal and ordinal data

Better understand both types of data by working with procedures similar to conventional regression, principal components and canonical correlation to predict outcomes and reveal relationships.

Visually interpret datasets

See how rows and columns relate in large tables of scores, counts, ratings, rankings or similarities.